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Chen Sun; Stephanie Yang; Betsy Becker – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential 21st century skill, incorporates key computer science concepts such as abstraction, algorithms, and debugging. Debugging is particularly underrepresented in the CT training literature. This multi-level meta-analysis focused on debugging as a core CT skill, and investigated the effects of various debugging…
Descriptors: Troubleshooting, Computation, Thinking Skills, Intervention
Pham, Lam D.; Nguyen, Tuan D.; Springer, Matthew G. – American Educational Research Journal, 2021
Empirical research investigating the association between teacher pay incentives and student test scores has grown rapidly over the past decade. To integrate the findings from these studies and help inform the debate over teacher merit pay, this meta-analysis synthesizes effect sizes across 37 primary studies, 26 of which were conducted in the…
Descriptors: Teacher Salaries, Merit Pay, Incentives, Meta Analysis
Bissonnette, Steve; Boyer, Christian – Journal of Computer Assisted Learning, 2022
Tingir et al. (2017) concluded from their meta-analysis that the subject areas taught through mobile devices had significantly higher achievement scores (d = 0.48) than the ones taught with traditional teaching methods. Given the relatively high positive effect of mobile devices on student achievement, we carefully analysed the selected research…
Descriptors: Meta Analysis, Electronic Learning, Handheld Devices, Academic Achievement
Rios, Joseph – Applied Measurement in Education, 2021
Four decades of research have shown that students' low test-taking effort is a serious threat to the validity of score-based inferences from low-stakes, group-based educational assessments. This meta-analysis sought to identify effective interventions for improving students' test-taking effort in such contexts. Included studies: (1) used a…
Descriptors: Test Wiseness, Student Motivation, Meta Analysis, Intervention
Tamim, Rana M.; Borokhovski, Evgueni; Bernard, Robert M.; Schmid, Richard F.; Abrami, Philip C.; Pickup, David I. – Australasian Journal of Educational Technology, 2021
As the empirical literature in educational technology continues to grow, meta-analyses are increasingly being used to synthesise research to inform practice. However, not all meta-analyses are equal. To examine their evolution over the past 30 years, this study systematically analysed the quality of 52 meta-analyses (1988-2017) on educational…
Descriptors: Meta Analysis, Educational Quality, Educational Technology, Scores
Hurtado-Parrado, Camilo; Pfaller-Sadovsky, Nicole; Medina, Lucia; Gayman, Catherine M.; Rost, Kristen A.; Schofill, Derek – Journal of Behavioral Education, 2022
"Interteaching" is a behavioral teaching method that departs from the traditional lecture format (Boyce & Hineline in BA 25:215-226, 2002). We updated and expanded previous interteaching reviews and conducted a meta-analysis on its effectiveness. Systematic searches identified 38 relevant studies spanning the years 2005-2018. The…
Descriptors: Teaching Methods, Instructional Effectiveness, Meta Analysis, Undergraduate Study
Tomlin Gagen; Farahnaz Faez – Higher Education Research and Development, 2024
Thousands of education institutions worldwide rely on IELTS scores as criteria for accepting international students whose first language is not English. Individual studies have found varying degrees of strength of correlations and conflicting results between IELTS entry scores and subsequent academic success. These conflicting results were…
Descriptors: Test Validity, Scores, Correlation, Higher Education
Foster, Colin – International Journal of Science and Mathematics Education, 2022
Confidence assessment (CA) involves students stating alongside each of their answers a confidence rating (e.g. 0 low to 10 high) to express how certain they are that their answer is correct. Each student's score is calculated as the sum of the confidence ratings on the items that they answered correctly, minus the sum of the confidence ratings on…
Descriptors: Mathematics Tests, Mathematics Education, Secondary School Students, Meta Analysis
Ihlenfeldt, Samuel Dale; Rios, Joseph A. – Language Testing, 2023
For institutions where English is the primary language of instruction, English assessments for admissions such as the Test of English as a Foreign Language (TOEFL) and International English Language Testing System (IELTS) give admissions decision-makers a sense of a student's skills in academic English. Despite this explicit purpose, these exams…
Descriptors: Meta Analysis, Test Validity, College Admission, Second Language Learning
Atmaca, Furkan; Baloglu, Mustafa – Gifted Child Quarterly, 2022
We compared the Wechsler scores of individuals with twice-exceptionality (2e) and giftedness using a three-level Bayesian meta-analysis. Ninety-five effect sizes were calculated from 15 studies (n = 2,106). Results show that individuals with 2e who have learning disabilities perform lower than individuals with giftedness in Full-Scale Intelligence…
Descriptors: Meta Analysis, Gifted Disabled, Intelligence Quotient, Identification
Talan, Tarik; Batdi, Veli – Turkish Online Journal of Distance Education, 2020
This study was carried out to determine the effectiveness of the Flipped Classroom Model (FCM) in an educational setting. For this purpose, a multi-complementary approach (MCA) was used including both quantitative (meta-analysis) and qualitative (thematic). MCA consists of three parts, the first of which is the pre-complementary information stage.…
Descriptors: Foreign Countries, Blended Learning, Instructional Effectiveness, Models
Nugent, William R. – Educational and Psychological Measurement, 2017
Meta-analysis is a significant methodological advance that is increasingly important in research synthesis. Fundamental to meta-analysis is the presumption that effect sizes, such as the standardized mean difference (SMD), based on scores from different measures are comparable. It has been argued that population observed score SMDs based on scores…
Descriptors: Meta Analysis, Effect Size, Comparative Analysis, Scores
Furenes, May Irene; Kucirkova, Natalia; Bus, Adriana G. – Review of Educational Research, 2021
This meta-analysis examines the inconsistent findings across experimental studies that compared children's learning outcomes with digital and paper books. We quantitatively reviewed 39 studies reported in 30 articles (n = 1,812 children) and compared children's story comprehension and vocabulary learning in relation to medium (reading on paper…
Descriptors: Reading Processes, Children, Reading Comprehension, Vocabulary Development
Polin Yadak – ProQuest LLC, 2020
This meta-analysis synthesized research on gender gap in the Force Concept Inventory (FCI). The main goal of the present meta-analysis was to identify the moderator variables that mediate effect size differences. Furthermore, the statistical significance of the average effect sizes was investigated. The inclusion criteria for the meta-analysis…
Descriptors: Gender Differences, Physics, Scientific Concepts, Introductory Courses
Simpson, Adrian – British Educational Research Journal, 2018
Much of the evidential basis for recent policy decisions is grounded in effect size: the standardised mean difference in outcome scores between a study's intervention and comparison groups. This is interpreted as measuring educational influence, importance or effectiveness of the intervention. This article shows this is a category error at two…
Descriptors: Evidence Based Practice, Teaching Methods, Intervention, Educational Policy